---
title: "Design Principles for Data Spaces - Position Paper"
description: "3 papers in the tracked journals link to the Zenodo dataset Design Principles for Data Spaces - Position Paper in their Crossref records, the first in 2024; most of them (2) in 2024."
url: https://scholar4ai.com/code/zenodo-5105744
markdown_url: https://scholar4ai.com/code/zenodo-5105744.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the Zenodo dataset Design Principles for Data Spaces - Position Paper in their Crossref records, the first in 2024; most of them (2) in 2024. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# Design Principles for Data Spaces - Position Paper: papers linking to it

Research papers in the 480 tracked journals that link to Design Principles for Data Spaces - Position Paper (https://doi.org/10.5281/zenodo.5105744), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- Zenodo
- Text
- 2021
- https://doi.org/10.5281/zenodo.5105744

All repositories: https://scholar4ai.com/code.md

## Key findings

- 3 papers in the tracked journals link to the Zenodo dataset Design Principles for Data Spaces - Position Paper in their Crossref records, the first in 2024; most of them (2) in 2024.
- By category: Information Systems (3); the journals with the most are Electronic Markets (2) and Journal of Industrial Information Integration (1).
- 2 of the papers build on one another: a later paper cites an earlier one that also links Design Principles for Data Spaces - Position Paper.

## By year

*Papers linking to Design Principles for Data Spaces - Position Paper by publication year*

| Year | Papers |
|---|---:|
| 2024 | 2 |
| 2025 | 1 |

## Journals

*Journals whose papers link to Design Principles for Data Spaces - Position Paper most*

| Journal | Papers |
|---|---:|
| [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | 2 |
| [Journal of Industrial Information Integration](https://scholar4ai.com/journals/journal-of-industrial-information-integration.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [Data Sovereignty in Information Systems](https://doi.org/10.1007/s12525-024-00693-4) (Electronic Markets, 2024)
  - [From hesitation to participation in industrial data ecosystems: Analysis of motives and incentives in the automotive industry](https://doi.org/10.1007/s12525-025-00818-3) (Electronic Markets, 2025) — cites the paper above

## Papers

*Papers linking to Design Principles for Data Spaces - Position Paper, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-02-27 | [Data Sovereignty in Information Systems](https://doi.org/10.1007/s12525-024-00693-4) | [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | Franziska von Scherenberg, Malte Hellmeier, Boris Otto | 90 | cites it |
| 2024-01-26 | [Approaches for data collection and process standardization in smart manufacturing: Systematic literature review](https://doi.org/10.1016/j.jii.2024.100578) | [Journal of Industrial Information Integration](https://scholar4ai.com/journals/journal-of-industrial-information-integration.md) | Alexandra Schlemitz, Vitaliy Mezhuyev | 70 | cites it |
| 2025-08-27 | [From hesitation to participation in industrial data ecosystems: Analysis of motives and incentives in the automotive industry](https://doi.org/10.1007/s12525-025-00818-3) | [Electronic Markets](https://scholar4ai.com/journals/electronic-markets.md) | Marc Brechtel | 7 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). Design Principles for Data Spaces - Position Paper: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-5105744

```bibtex
@misc{scholar4ai-code-zenodo-5105744,
  author = {{Scholar4AI}},
  title = {Design Principles for Data Spaces - Position Paper: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-5105744}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).